Codesota · Models · DBNet++ (ResNet-18) (736)Unknown8 results · 2 benchmarks
Model card

DBNet++ (ResNet-18) (736).

UnknownunknownUnknown paramsUnknown

Imported from Papers With Code

§ 01 · Benchmarks

Every benchmark DBNet++ (ResNet-18) (736) has a recorded score for.

#BenchmarkArea · TaskMetricValueRankDateSource
01ICDAR 2015Computer Vision · Scene Text Detectionfps44.0%#3/72022-02-21source ↗
02msra-td500Computer Vision · Scene Text Detectionfps55.0%#6/82022-02-21source ↗
03msra-td500Computer Vision · Scene Text Detectionrecall82.5%#10/242022-02-21source ↗
04msra-td500Computer Vision · Scene Text Detectionf-measure85.1%#11/242022-02-21source ↗
05ICDAR 2015Computer Vision · Scene Text Detectionprecision90.1%#16/412022-02-21source ↗
06msra-td500Computer Vision · Scene Text Detectionprecision87.9%#16/232022-02-21source ↗
07ICDAR 2015Computer Vision · Scene Text Detectionf-measure83.1%#32/432022-02-21source ↗
08ICDAR 2015Computer Vision · Scene Text Detectionrecall77.2%#36/412022-02-21source ↗
Rank column shows this model’s position vs all other models scored on the same benchmark + metric (competitors after the slash). #1 in red means current SOTA. Sorted by rank, then newest result.
§ 02 · Strengths by area

Where DBNet++ (ResNet-18) (736) actually performs.

Computer Vision
2
benchmarks
avg rank #16.3
§ 03 · Papers

1 paper with results for DBNet++ (ResNet-18) (736).

  1. 2022-02-21· Computer Vision· 8 results

    Real-Time Scene Text Detection with Differentiable Binarization and Adaptive Scale Fusion

§ 04 · Related models

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§ 05 · Sources & freshness

Where these numbers come from.

papers-with-code
8
results
8 of 8 rows marked verified.